5b3fcf9f-19d4-4ad3-a8bb-0a5ea02c857e English ISO/IEC 8859-1 (also known as Latin 1) dataset dataset NERC EDS Environmental Information Data Centre Lancaster Environment Centre, Library Avenue, Bailrigg Lancaster LA1 4AP UK info@eidc.ac.uk https://eidc.ac.uk/ EIDC website The Environmental Information Data Centre (EIDC) is the UK's national data centre for terrestrial and freshwater sciences. information pointOfContact 2025-11-13T16:16:18 UK GEMINI 2.3 EU NUTS Regions Drought indicator time series for European NUTS regions based on remote sensing data (2000-2015) 2016-07-11 publication https://catalogue.ceh.ac.uk/id/5b3fcf9f-19d4-4ad3-a8bb-0a5ea02c857e 10.5285/5b3fcf9f-19d4-4ad3-a8bb-0a5ea02c857e doi: Tanguy, M., Bachmair, S., Stahl, K., Hannaford, J. (2016). Drought indicator time series for European NUTS regions based on remote sensing data (2000-2015). NERC Environmental Information Data Centre 10.5285/5b3fcf9f-19d4-4ad3-a8bb-0a5ea02c857e This dataset consists in a collection of remotely sensed drought indicators time series. The data was extracted from CEH's gridded remotely sensed drought indicators product (Tanguy et al., 2016; http://doi.org/10.5285/4e0d0e50-2f9c-4647-864d-5c3b30bb5f4b), which has gridded data for Europe for three drought indicators: - the Vegetation Condition Index (VCI) based on satellite product NDVI (Normalised Difference Vegetation Index); - the Temperature Condition Index (TCI) based on remotely sensed LST (Land Surface Temperature); - the Vegetation Health Index (VHI) which is a combination of VCI and TCI. These three drought indicators have been extracted for European NUTS regions (level 0, 1, 2 and 3). These have been masked with a land use land cover map to be able to study different responses for various land cover types. A simplified LULC was created, with only four classes: forest, crop, shrub and grass. One extra time series was created for all classes together. Full details about this dataset can be found at https://doi.org/10.5285/5b3fcf9f-19d4-4ad3-a8bb-0a5ea02c857e Tanguy, M. UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk pointOfContact Tanguy, M. Centre for Ecology & Hydrology enquiries@ceh.ac.uk https://orcid.org/0000-0002-1516-6834 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Bachmair, S. Albert-Ludwigs-University of Freiburg sophie.bachmair@hydrology.uni-freiburg.de author Stahl, K. Albert-Ludwigs-University of Freiburg kerstin.stahl@hydrology.uni-freiburg.de author Hannaford, J. Centre for Ecology & Hydrology enquiries@ceh.ac.uk https://orcid.org/0000-0002-5256-3310 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author NERC Environmental Information Data Centre info@eidc.ac.uk publisher NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk owner Meteorological geographical features theme GEMET - INSPIRE themes, version 1.0 2008-06-01 publication drought grass forest land cover land use GEMET - Concepts, version 4.1.3 2019-01-28 creation Environmental risk Vegetation Condition Index VCI Normalised Difference Vegetation Index NVDI moderate-resolution imaging spectroradiometer MODIS Land Surface Temperature LST Temperature Condition Index TCI DrIVER NUTS crops shrubs monitoring and early warning system Nomenclature of Territorial Units for Statistics Nomenclature des unités territoriales statistiques otherRestrictions no limitations otherRestrictions This resource is made available under the terms of the Open Government Licence otherRestrictions © UK Centre for Ecology & Hydrology otherRestrictions If you reuse this data, you should cite: Tanguy, M., Bachmair, S., Stahl, K., Hannaford, J. (2016). Drought indicator time series for European NUTS regions based on remote sensing data (2000-2015). NERC Environmental Information Data Centre https://doi.org/10.5285/5b3fcf9f-19d4-4ad3-a8bb-0a5ea02c857e textTable English utf8 environment 2000-01-01 2015-12-31 -15 45 30 75 Comma-separated values (CSV) NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://catalogue.ceh.ac.uk/datastore/eidchub/5b3fcf9f-19d4-4ad3-a8bb-0a5ea02c857e Download the data Download a copy of this data fileAccess https://data-package.ceh.ac.uk/sd/5b3fcf9f-19d4-4ad3-a8bb-0a5ea02c857e.zip Supporting information Supporting information available to assist in re-use of this dataset information dataset dataset Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services 2010-12-08 Time series for three drought indicators based on remote sensing have been extracted for European NUTS regions (level 0, 1, 2 and 3). The Nomenclature of Territorial Units for Statistics, (NUTS, for the French Nomenclature des unités territoriales statistiques), developed by the European Union, is a geocode standard for referencing the administrative divisions of countries for statistical purposes. A land use mask was applied to extract the time series, to differentiate the contribution of crops, grass, forest and shrubs. There is also one time series for each NUTS region which includes all classes. The land cover product used to produce the mask was remote sensing MODIS product MCD12C1 (year 2012) which has a 0.05 degree resolution. The three drought indicators extracted are (i) the Vegetation Condition Index (VCI) based on satellite product NDVI (Normalised Difference Vegetation Index) (ii) the Temperature Condition Index based on remotely sensed LST (Land Surface Temperature) and (iii) the Vegetation Health Index (VHI) which is a combination of VCI and TCI. These indicators were first calculated as a gridded product for Europe with a 0.05 degree resolution and monthly time step (2000-2015), using MODIS product MOD13C2 for NDVI, and MODIS product MOD11C3 for LST, following methodology described by Kogan (1995; https://doi.org/10.1016/0273-1177(95)00079-T). The time series were then extracted applying the simplified land use classification mask (crops, forest, grass, shrubs) to each NUTS region, and an additional time series for all classes. For each time step, a value was produced only if at least 50% of the pixels within the non-masked area had valid values. NOTE: there are two types of "No Data" value. Value '--' means there were no pixels with valid values within the non-masked area. Value 'nan' means there were some pixels with valid values within the non-masked area, but these covered less than 50% of the area. These time steps were discarded as less than 50% was considered not representative enough of the whole area.